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相关概念视频

Errors in Global Positioning System01:26

Errors in Global Positioning System

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Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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Introduction to Global Positioning System01:30

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The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
61
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

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The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
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Types of Global Positioning System Surveys01:30

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GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
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PI Controller: Design01:24

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Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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一个改进的卡尔曼过算法,用于紧密的GNSS/INS集成导航系统.

Yuelin Yuan1, Fei Li2, Jialiang Chen2

  • 1School of Electronic Science, National University of Defense Technology, Changsha 410005, China.

Mathematical biosciences and engineering : MBE
|February 2, 2024
PubMed
概括

本研究介绍了一种使用单数值分解 (SVD) 来实现全球导航卫星系统/惯性导航系统 (GNSS/INS) 集成的改进强大的卡尔曼波器. 该方法通过动态纠正噪声共变性来提高稳定性和定位准确性,大大减少错误.

关键词:
卡尔曼过器可以过.这是SVDVD.同变性匹配的匹配.信息过器是一种信息过器.紧密相结合的GNSS/INS导航系统.

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科学领域:

  • 导航系统工程 导航系统工程
  • 信号处理 信号处理
  • 强大的估计理论.

背景情况:

  • 使用单值分解 (SVD) 的卡尔曼过器在各种计算应用中有效地减轻数值圆形错误.
  • 紧密结合的全球导航卫星系统 (GNSS) 和惯性导航系统 (INS) 集成要求提高过性能和适应性.
  • 传统方法因固定噪声共变而难以应对波动的GNSS信号,从而限制了集成导航的准确性.

研究的目的:

  • 为紧密合的GNSS/INS导航系统提出一个改进的可靠方法.
  • 通过解决固定噪声共变量的局限性来提高过性能和适应性.
  • 通过其SVD形式扩展信息过器 (IF) 的应用.

主要方法:

  • 开发了一种新的强大方法,使用来自创新的校正变量和SVD衍生的矩阵动态纠正噪声共变量.
  • 在原始矩阵上通过SVD构建了一个新的矩阵,以提高强度.
  • 导出了信息过器 (IF) 的 SVD 形式,以扩大其适用性.

主要成果:

  • 与传统的基于SVD的卡尔曼过器相比,拟议的方法显示出更高的稳定性和更高的定位精度.
  • 与传统的基于SVD的卡尔曼算法相比,最大误差减少了45.77%.
  • 与传统的IF算法相比,SVD形式的IF算法实现了根平均平方误差的4.7%降低.

结论:

  • 拟议的强大方法在紧密合的GNSS/INS导航中显著提高了定位准确性和稳定性.
  • 通过SVD进行动态噪声协差校正,可以更好地适应信号波动.
  • 基于SVD的IF提供了更准确,更可靠的导航解决方案,通过模拟和实验验证.